A novel optimization sizing model for hybrid solar-wind power generation system

Yang, Hongxing; Lu, Lin; Zhou, Wei

doi:10.1016/j.solener.2006.06.010

Cited by 634 publications

(244 citation statements)

References 15 publications

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“…(1) AAS According to Equation (4), the profit of each player in the alliance under AAS is obtained, and then the MDP index value is calculated according to Equation (14). The results are shown in Table 14.…”

Section: Allocation Results Analysismentioning

confidence: 99%

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Liu

2018

Sustainability

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Abstract:The rapid development of Energy Internet (EI) has prompted numbers of generators to participate, leading to a hybrid power system. Hence, how to plan the hybrid power system and allocate its profit becomes necessary. In this paper, the cooperative game theory is introduced to discuss this problem. We first design the basic structure of EI, and point out the object of this study-coal power plant-wind farm-photovoltaic power station-energy storage provider (CWPE) alliance. Subsequently, average allocation strategy (AAS), capacity-based allocation strategy (CAS) and Shapley value allocation strategy (SAS) are proposed, and then the modified disruption propensity (MDP) index is constructed to judge the advantages and disadvantages of the three schemes. Thirdly, taking a certain area of A Province as an example, the profits of CWPE under three strategies are calculated respectively. Finally, by analyzing individual rationality and collective rationality of cooperative game and the MDP index of the three profit allocation schemes, we find that SAS is the most stable.

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Section: Allocation Results Analysismentioning

confidence: 99%

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Liu

2018

Sustainability

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“…The use of different energy sources allows improving the system efficiency and reliability of the energy supple and reduces the energy storage requirements compared to systems comprising only one single renewable energy source. With the complementary characteristics between solar energy and wind energy for certain locations, the solar-wind power generation systems with storage banks offer a highly reliable source of power [Yang et al, 2007], which is suitable for electrical loads that need higher reliability [Giraud and Salameh, 2001]. A procedure is described in [Markvart, 1996], which determines the sizes of the PV array and wind turbine in a PV/ wind energy system using the measured values of solar and wind energy at a given location.…”

Section: Review Of the Hybrid Pv/wind Systemmentioning

confidence: 99%

The Potential of a Mix of Renewable (PV/ Wind) Energy System for an Information and Communication Technology (ICT) Centre in a Rural Environment

Ani¹

2013

Electron. J. Energy Envron.

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The design is presented of an optimized mix of renewable (PV/Wind) energy system for an Information and Communication Technology (ICT) Center in Rural environments in Kauru (Kaduna State), Northern Nigeria with a daily load of 24 kwh d -1 . Solar radiation and wind speed for the design of the system were obtained from the NASA Surface Meteorology and solar energy website at a location of 10° 39' N latitude and 8° 09' E longitude, with annual average solar radiation of 5.64 kWh m -2 d -1 and annual average wind speed of 2.5 m s -1 . The patterns of load consumption by the ICT Centre were studied and suitably modeled for optimization using the National Renewable Energy Laboratory's Hybrid Optimization Model for Electric Renewables (HOMER) software. The proposed PV/Wind system was simulated using the model resulting in two different topologies: PV/Wind and PV only. From the simulation results, the PV/Wind system solution was considered to be the best energy option (solution) for the ICT Center. This optimization study indicates that energy requirements to provide electricity for an ICT center in Kauru with the least cost could be accomplished by a combination of 8 kW PV array, 1 unit 7.5 kW BWC Excel-R wind turbine, 1.5 kW inverter and 24 Hoppecke 24 OPzS 30000 batteries. The system configuration suggested also benefits from 33% excess electricity supply which allows for future ICT network expansion and power needs. This system also saves $6,341 for the project lifetime when compared with PV only system due to reduced number of battery unit. A detailed design and description of expected performance of the PV/Wind system are also presented.

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“…Unfortunately, the performance of a determined size may not show the same performance in the future conditions, even if the overall sun light and wind conditions do not statistically change. For a more reliable sizing result, methods that involve wide-sense models and forecasting of wind and solar radiation could be considered [2]. An analysis for a wind energy integrated systems was developed in [8] to form a production simulation tool.…”

Section: Introductionmentioning

confidence: 99%

Sizing procedures for sun-tracking PV system with batteries

Gerek

Filik

2017

E3S Web Conf.

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Abstract. Deciding optimum number of PV panels, wind turbines and batteries (i.e. a complete renewable energy system) for minimum cost and complete energy balance is a challenging and interesting problem. In the literature, some rough data models or limited recorded data together with low resolution hourly averaged meteorological values are used to test the sizing strategies. In this study, active sun tracking and fixed PV solar power generation values of ready-to-serve commercial products are recorded throughout 2015-2016. Simultaneously several outdoor parameters (solar radiation, temperature, humidity, wind speed/direction, pressure) are recorded with high resolution. The hourly energy consumption values of a standard 4-person household, which is constructed in our campus in Eskisehir, Turkey, are also recorded for the same period. During sizing, novel parametric random process models for wind speed, temperature, solar radiation, energy demand and electricity generation curves are achieved and it is observed that these models provide sizing results with lower LLP through Monte Carlo experiments that consider average and minimum performance cases. Furthermore, another novel cost optimization strategy is adopted to show that solar tracking PV panels provide lower costs by enabling reduced number of installed batteries. Results are verified over real recorded data.

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A novel optimization sizing model for hybrid solar-wind power generation system

Cited by 634 publications

References 15 publications

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

The Potential of a Mix of Renewable (PV/ Wind) Energy System for an Information and Communication Technology (ICT) Centre in a Rural Environment

Sizing procedures for sun-tracking PV system with batteries

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